The exponentiated odd exponential half logistic-G power series class of distributions with applications

We propose a new generalized class of distributions called the Exponentiated odd Exponential Half Logistic-G Power Series (EOEHL-GPS) class of distributions. This model is obtained by compounding the Exponentiated odd Exponential Half Logistic-G distribution with the power series distribution. Stati...

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Bibliographic Details
Published in:	Journal of statistics & management systems Vol. 25; no. 8; pp. 1821 - 1848
Main Authors:	Rannona, Kethamile, Oluyede, Broderick, Chipepa, Fastel, Makubate, Boikanyo
Format:	Journal Article
Language:	English
Published:	New Delhi Taylor & Francis 17-11-2022 Taru Publications
Subjects:	Distribution Electric power distribution Exponentiated odd exponential half logistic distribution Logistics Maximum likelihood estimates Maximum likelihood estimation Power series Power series distribution
Online Access:	Get full text
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Summary:	We propose a new generalized class of distributions called the Exponentiated odd Exponential Half Logistic-G Power Series (EOEHL-GPS) class of distributions. This model is obtained by compounding the Exponentiated odd Exponential Half Logistic-G distribution with the power series distribution. Statistical properties of the EOEHL-GPS class of distributions are discussed. Maximum likelihood estimates for the proposed model were obtained. A simulation study was carried out to assess the performance of the maximum likelihood estimates. Finally, real data examples are used to illustrate the usefulness of the new model compared to other models.
ISSN:	0972-0510 2169-0014
DOI:	10.1080/09720510.2021.1984570